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Functions2,488 in github.com/TPCD/LifelongReID

⨍ Functions 2,488◇ Types & classes 338↳ Endpoints 1

(self, inputRNN, num_layers=1, dropout = 0)

apex/apex/RNN/RNNBackend.py:29

(self, inputRNN, num_layers=1, dropout=0)

apex/apex/RNN/RNNBackend.py:94

(self, input_size, hidden_size, bias = False, output_size = None)

apex/apex/RNN/cells.py:17

(self, name, dim, module, retain_forward=True)

apex/apex/reparameterization/reparameterization.py:19

apex/apex/amp/frontend.py:13

(self, optimizer, amp_handle, num_loss)

apex/apex/amp/opt.py:10

(self, loss_scale="dynamic", enable_caching=True, verbose=False)

apex/apex/amp/handle.py:171

apex/apex/amp/rnn_compat.py:18

apex/apex/amp/_initialize.py:134

apex/apex/amp/_amp_state.py:19

(self, loss_scale, init_scale=2.**16, scale_factor=2.,

apex/apex/amp/scaler.py:38

apex/apex/amp/_process_optimizer.py:10

(self, params, lr=1e-2, eps=1e-10, weight_decay=0., set_grad_none=True, adagrad_w_mode=False)

apex/apex/optimizers/fused_adagrad.py:43

(self, params, lr=1e-3, bias_correction=True, betas=(0.9, 0.999), eps=1e-8, weight_decay=0.,

apex/apex/optimizers/fused_novograd.py:67

(self, params, lr=1e-3, bias_correction=True, betas=(0.9, 0.999), eps=1e-6, weight_decay=0.01

apex/apex/optimizers/fused_lamb.py:63

(self, params, lr=required, momentum=0, dampening=0, weight_decay=0, nesterov=False,

apex/apex/optimizers/fused_sgd.py:76

(self, params, lr=1e-3, bias_correction=True, betas=(0.9, 0.999), eps=1e-8, adam_w_mode=True,

apex/apex/optimizers/fused_adam.py:62

(self, mlp_sizes, bias=True, activation='relu')

apex/apex/mlp/mlp.py:34

(self, network)

apex/apex/fp16_utils/fp16util.py:78

(self, scale=1)

apex/apex/fp16_utils/loss_scaler.py:22

(self, init_scale=2**32, scale_factor=2., scale_window=1000

apex/apex/fp16_utils/loss_scaler.py:73

(self, init_optimizer, static_loss_scale=1.0, dynamic_lo

apex/apex/fp16_utils/fp16_optimizer.py:14

(self, num_features, eps=1e-5, momentum=0.1, affine=True, track_running_stats=True, process_group=None, channe

apex/apex/parallel/optimized_sync_batchnorm.py:58

(self, num_features, eps=1e-5, momentum=0.1, affine=True, track_running_stats=True, process_group=None, channe

apex/apex/parallel/sync_batchnorm.py:51

(self, module, message_size=10000000, delay_allreduce=False

apex/apex/parallel/distributed.py:162

(self, optimizer, trust_coefficient=0.02, clip=True, eps=1e-8)

apex/apex/parallel/LARC.py:39

(self, normalized_shape, eps=1e-5, elementwise_affine=True)

apex/apex/normalization/fused_layer_norm.py:129

apex/apex/pyprof/prof/reduction.py:7

apex/apex/pyprof/prof/reduction.py:62

apex/apex/pyprof/prof/reduction.py:111

apex/apex/pyprof/prof/loss.py:9

apex/apex/pyprof/prof/index_slice_join_mutate.py:8

apex/apex/pyprof/prof/index_slice_join_mutate.py:58

apex/apex/pyprof/prof/index_slice_join_mutate.py:103

apex/apex/pyprof/prof/index_slice_join_mutate.py:153

apex/apex/pyprof/prof/index_slice_join_mutate.py:209

apex/apex/pyprof/prof/index_slice_join_mutate.py:262

apex/apex/pyprof/prof/index_slice_join_mutate.py:345

apex/apex/pyprof/prof/recurrentCell.py:26

apex/apex/pyprof/prof/optim.py:9

apex/apex/pyprof/prof/misc.py:9

apex/apex/pyprof/prof/misc.py:52

apex/apex/pyprof/prof/misc.py:100

apex/apex/pyprof/prof/misc.py:142

apex/apex/pyprof/prof/misc.py:181

apex/apex/pyprof/prof/linear.py:69

apex/apex/pyprof/prof/pointwise.py:29

apex/apex/pyprof/prof/dropout.py:7

apex/apex/pyprof/prof/output.py:33

apex/apex/pyprof/prof/blas.py:10

apex/apex/pyprof/prof/blas.py:88

apex/apex/pyprof/prof/blas.py:152

apex/apex/pyprof/prof/blas.py:287

apex/apex/pyprof/prof/softmax.py:7

apex/apex/pyprof/prof/softmax.py:59

apex/apex/pyprof/prof/data.py:7

apex/apex/pyprof/prof/normalization.py:7

apex/apex/pyprof/prof/conv.py:26

apex/apex/pyprof/prof/activation.py:12

apex/apex/pyprof/prof/embedding.py:7

apex/apex/pyprof/prof/randomSample.py:7

apex/apex/pyprof/prof/convert.py:11

apex/apex/pyprof/parse/db.py:9

apex/apex/pyprof/parse/kernel.py:41

apex/apex/pyprof/parse/nvvp.py:14

apex/apex/pyprof/examples/lenet.py:13

apex/apex/pyprof/examples/jit/jit_trace_method.py:8

apex/apex/pyprof/examples/jit/jit_script_method.py:8

apex/apex/pyprof/examples/custom_func_module/custom_module.py:9

(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm_layer=None)

apex/apex/pyprof/examples/user_annotation/resnet.py:28

apex/examples/imagenet/main_amp.py:266

apex/examples/imagenet/main_amp.py:484

apex/examples/dcgan/main_amp.py:166

lreid/tools/meter.py:8

lreid/tools/meter.py:28

(self, fpath=None)

lreid/utils/loggers.py:29

(self, sources, targets)

lreid/utils/loggers.py:108

lreid/utils/avgmeter.py:18

(self, delimiter='\t')

lreid/utils/avgmeter.py:49

(self, data_source, class_position, k)

lreid/data_loader/loader.py:17

(self, data_source, class_position, k, pid_list)

lreid/data_loader/loader.py:84

(self, data_source, class_position, k, pid_list)

lreid/data_loader/loader.py:161

lreid/data_loader/loader.py:230

lreid/data_loader/customed_loaders.py:20

(self, datasets_root, relabel=True, combineall=False)

lreid/data_loader/dataset.py:92

(self, market_path, relabel=True, combineall=False)

lreid/data_loader/dataset.py:301

(self, market_path, relabel=True, combineall=False)

lreid/data_loader/dataset.py:330

(self, samples, transform)

lreid/data_loader/dataset.py:385

(self, samples, total_step, transform)

lreid/data_loader/dataset.py:410

lreid/data_loader/incremental_reid_loaders.py:23

(self, probability=0.5, sl=0.02, sh=0.4, r1=0.3, mean=(0.4914, 0.4822, 0.4465))

lreid/data_loader/transforms2.py:18

(self, samples, total_step, transform)

lreid/data_loader/incremental_datasets.py:175

lreid/data_loader/reid_loaders.py:14

(self, env='default', **kwargs)

lreid/visualization/visdom_show.py:30

(self, fields=None, win=None, env=None, opts={}, port=8097, server="localhost")

lreid/visualization/logger.py:36

(self, envs=None, port=8097, server="localhost")

lreid/visualization/logger.py:79

Args: fields: Currently unused plot_type: The name of the plot type, in Visdom Examples:

lreid/visualization/logger.py:93

Args: fields: Currently unused plot_type: The name of the plot type, in Visdom

lreid/visualization/logger.py:126

Multiple lines can be added to the same plot with the "name" attribute (see example) Args: fields: Currently

lreid/visualization/logger.py:179

(self, fields=None, win=None, env=None, opts={}, update_type=valid_update_types[0], port=8097

lreid/visualization/logger.py:253

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